DonteHitner31
🏈 @OhioStateFB • NFL 11 yrs, 3x Pro Bowl Safety 📺 Analyst @NBCSAuthentic @cbssports Kirtland Hills Capital
124,956
Followers
778
Following
14,008
Tweets
197.1
Avg Engagement
1,243
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DonteWhitner's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2009-01-13
- Verification:No
- Location:Newport Beach, CA
Data Summary
- Tweets Analyzed:3,164
- Avg Likes per Tweet:69.4
- Avg Retweets per Tweet:127.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,164 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
69.4
Avg Likes/Tweet
127.7
Avg Retweets/Tweet
219,463
Total Likes
404,074
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
7
Median Retweets
98
75th Percentile
57,307
Top Tweet
1.58
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
41.2%
Original
31.8%
Replies
25.9%
Retweets
1.0%
Quotes
0.0%
Threads
0.2%
With Media
19.8%
With Links
17.1%
With #Tags
63.2%
With @Mentions
7.2%
With Emojis
73
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.77
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.9%
Weekday Posts
24.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,164 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 821 retweets (26% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,164 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersHis followers are likely sports enthusiasts, particularly fans of the NFL and college football, given his background and content.
Average
Audience Quality
26.6%
Suspicion Index
36.3%
Low-Quality %
33
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.8%
Empty Bio
31.5%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
51.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
20.9%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
80,961,948
Total Potential Reach
33
Median Follower Reach
139
75th Percentile Reach
4.1%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
46.5%
Creators
23,273 accounts
21.9%
Consumers
10,967 accounts
31.5%
Dormant
15,760 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
393
Verified Followers
0.39% of total
11,515
Protected Accounts
11.4% of total
10 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @enews | 11,890,375 | Entertainment News | Entertainment, Celebrities, Pop culture |
| @AdamSchefter | 10,351,006 | Sports Journalist | NFL, Insider, Podcast |
| @Wale | 6,216,996 | Writer | anti-hero, super genius, music |
| @JeremyRenner | 6,194,568 | Actor | Movies, Music, Adventure |
| @nflnetwork | 4,951,675 | Sports Media | Football, Television, Sports |
| @NFLonFOX | 3,693,805 | Sports Media | Football, NFL, Sports |
| @mikethemiz | 3,217,412 | Wrestler | Wrestling, MizAndMrs, PeacockTV |
| @joelmchale | 3,203,146 | Actor | Comedy, Acting, Hosting |
| @MCHammer | 3,180,087 | Filmmaker | #Dubnation, #RaiderNation, #FilmMaker |
| @Variety | 2,912,159 | Entertainment industry | Entertainment, Business, Variety |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,646
Followers With Bio
51,352
Followers Without Bio
49.16%
% With Bio
50.84%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,164 analyzed179,302
Combined Engagement
0
Total Likes
179,302
Total Retweets
35,860
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @theJay_Show: I'm so glad Shannon aint tuck his tail and fold like Stephen A. Smith would have when Jenny started talking. He's 100% rig…
RT @uninterrupted: "It’s not about dividing. We as American people need to come together even stronger.” — @KingJames responds to @realDona…
RT @brysontiller: you can keep your temporary loyalty.
RT @RickRoss: Speak it into existence
RT @JManziel2: So honored to be a Cleveland Brown. I can’t wait to get to work. #DraftDay http://t.co/mP95vTpdAO
Key Insights & Takeaways
He frequently shares game outcomes and predictions, showing his passion for football. He uses his platform to express personal opinions on teams and games. He collaborates with sports networks, enhancing his credibility and reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 124,956
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @DonteWhitner reveals an well-established Twitter presence with 124,956 followers. The account demonstrates a content-creator strategy, averaging 197.1 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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